cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
By Birk Diedenhofen, J. Musch. 2015
1,829 citations recorded by the source corpus.
A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou’s confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is available for scripting. Two different graphical user interfaces—a plugin for RKWard and a web interface—make cocor a convenient and user-friendly tool.
Subfields: Food Science, Statistics and Probability
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Citations in the corpus
- The Accuracy and Validity of Self-Reported Social Media Use Measures Among Adolescents (2021, methodology): “…platform differences in the strength of these between-person (RQ4b) and within-person (RQ4c) correlations, we conducted a test for comparison of dependent groups with nonoverlapping correlations, using the function “cocor.dep.groups.nonoverlap” of the Cocor package in R (Diedenhofen & Musch, 2015).”